Python Frameworks for Data Science

Python programming language is extremely versatile. One of its main applications is related to web development. With Python frameworks and some libraries, we can make programs of all types. In this article we will discuss Python Frameworks for Data Science.

That’s because they save us a lot of complicated tasks, which demand a lot of attention. In this way, the programmer can focus on more specific aspects of his program idea, without having to worry about very basic things.

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What are Python frameworks?

A Python framework is a set of packages and modules that make web programming easier and faster. It provides a series of tools that are necessary when developing an application.

In web development, there are certain procedures and elements that are standardized for any type of website. We can mention client-server connection operations, user authentication, requests to databases, etc.

So, a Python framework will take care of these more rudimentary tasks (laborious, detailed, and easy to miss) activities and allow you to build your programs on a solid and stable basis.

The idea is that the programmer does not have to worry about low-level programming tasks, such as protocols and sockets.

It also involves issues of back-end and web servers, such as the entire location of the website (URL Routes) and the operations of HTTP Servers (receiving HTTP Requests and providing HTTP Responses).

However, they also offer support for several other features, such as interpreting requests (filling out forms, controlling cookies and sessions), producing responses (presenting data such as HTML, for example), and storing information, among others.

Often, web programs need even more complex elements, which makes it necessary to use more robust frameworks. These frameworks, which seek to provide complete solutions for all applications, are called full-stack frameworks.

Top 5 Python frameworks in data science

1. Django

For being quite robust and complete, Django is a Python framework considered by many to be the best available for web development. It is free and open source, and can be used to build any type of website desired.

Its goal is to make the programmer realize his idea of ​​application as soon as possible. Within its functionalities, we can highlight its template engines and interaction with databases.

Several companies use Django in their application development, such as Instagram, Pinterest and Mozilla. This demonstrates its stability and its ability to handle projects of all sizes, from simple web APIs to complete websites.

2. Flask

The Flask is a Python microframework returned to web development. Its idea is to be a simple model for building websites, seeking to facilitate tasks and save time.

An interesting feature is that this framework follows the principles established by “Zen of Python”, a series of concepts that guide programming in Python. This has a number of benefits, such as improved code readability. Another positive aspect is the open-source extensions offered by the developer community.

3. Tornado

The Tornado is an asynchronous framework and open source that provides a library for communication networks. With it, we can establish a hundred connections between servers and clients.

It is used by Facebook, for example, being a key piece for social networks and similar programs, which need to deal with thousands of simultaneous and prolonged connections.

In addition, it also supports cookie management, user authentication, location, and security.

4. Web2py

The web2py is one of the best Python frameworks for those working with the database. It is a free program that has as its main objective to provide security for applications, because it prevents malicious codes, for example.

In addition, it has other interesting features such as: creating forms with automatic validation, authentication, and authorization, AJAX code generator, secure file upload, and plugin system.

It is a multiplatform framework, that is, it has support for several development environments, such as Windows, Linux, Mac, and Google App Engine, among others.

5. Bottle

The bottle is a fast and powerful WSGI (Web Server Gateway Interface) type microframework. It is used to learn programmers new to web development because it is ideal for creating small applications and tests.

Its main function is to make the interface between servers and applications. For example, Python frameworks make a request, which is processed by Bottle and sent to the server. Bottle receives the response and processes it for the program.

Without this framework, Python web applications would be limited to only specific servers that would be able to receive the information, restricting the programmer’s possibilities.

It does not depend on anything other than the Python Standard Library, the standard library that comes with the Python installation.